Infectious Diseases and Vectors: Ecology, Genetics, Evolution and Control

The aims of the group MIVEGEC are to develop integrative and transdisciplinary research to the mechanisms that maintain, amplify and transmit pathogenic agents, along with their genetic and epigenetic determinants, in order to better understand how these systems evolve and to improve their control.
L’UMR MIVEGEC "Maladies Infectieuses et Vecteurs : Ecologie, Génétique, Evolution et Contrôle" a pour mission de comprendre, via des recherches intégratives et transdisciplinaires, les mécanismes de maintenance, d’amplification et de transmission d’agents pathogènes, leurs déterminants génétiques et non génétiques, afin de pouvoir mieux appréhender l’évolution de ces systèmes infectieux et contribuer à en améliorer le contrôle.
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Plain Text - 1.7 KB - MD5: a99b9592976ef3db6aa163513dc15b3a
Documentation
Dataset citation and description
Unknown - 17.5 MB - MD5: 2e5e6030f37441f9ec75ef28491cfd2d
DataDocumentation
Ground-truth georeferenced dataset used for training and test in the classification
Unknown - 2.7 KB - MD5: 9e23d44ab61867b77dfb6dc99d373730
Visualization
Layer style to open the LULC raster in QGIS
JPEG Image - 2.1 MB - MD5: 623fab6e159b08f22c90341f617be184
Visualization
Map as a .jpeg image (for visualization purposes only)
Adobe PDF - 301.4 KB - MD5: aa0e968ed2843b4c28b233f6708b78dc
Documentation
Detailed methodology used to generate the data, with the resulting confusion matrix (in English)
Adobe PDF - 297.6 KB - MD5: 6cd3c56ad0de4910da87b5c6b2e3ecdf
Documentation
Detailed methodology used to generate the data, with the resulting confusion matrix (in French)
Adobe PDF - 2.5 MB - MD5: 53ae10019bf192228abbe94096f84d63
Documentation
Representative pictures of the land cover classes
Adobe PDF - 30.1 KB - MD5: b0b95cfd1ed9971adc5219df89643f41
Documentation
Raster attribute table, including definitions of the land cover classes in English and French (data dictionary) (pdf format)
R Source Code - 107.2 KB - MD5: 7832daf447042a67961ab075cb06de6f
Code
R script used to create the product, using an Object Based Image Analysis approach
TIFF Image - 61.0 MB - MD5: 327e620098c3866be5a62ad3797a338a
Data
The LULC georeferenced raster data
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